A Fuzzy Based Equivalent Capacity Estimation Method for Bandwidth Allocation in High-speed Networks (特集 21世紀のコンピュータセキュリティ技術)

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The dynamic nature of high-speed networks poses difficult traffic control problems when trying to achieve efficient use of network resources. One such problem is the issue of bandwidth management allocation. Because of the statistical multiplexing of all connections and the variation of connections bit rates, it is important to evaluate the equivalent capacity of all connections. The purpose of the equivalent capacity is to provide a metric to represent the effective bandwidth used by connections and the corresponding effective load on network links. In order to cope with rapidly changing network conditions, traffic control methods for high-speed networks must be adaptive, flexible, and intelligent for efficient network management. Use of intelligent methods based on fuzzy logic, neural networks and genetic algorithms can prove to be efficient for traffic control in high-speed networks. The equivalent capacity estimation is a very important function for call admission control. To estimate the equivalent capacity, fluid flow approximation, stationary approximation and equivalent capacity method has been proposed. But, they make many approximations, which result in an overestimate of equivalent capacity. In this paper, we propose a fuzzy equivalent capacity estimator for bandwidth allocation in high-speed networks. Performance evaluation via simulations shows that proposed fuzzy equivalent capacity estimator has a good equivalent capacity estimation compared with fluid flow and stationary approximations. Furthermore, the combination of fuzzy equivalent capacity estimator and stationary approximation give a better estimation compared with Guerin's method.
一般社団法人情報処理学会の論文
2001-08-15

A Fuzzy Based Equivalent Capacity Estimation Method for Bandwidth Allocation in High-speed Networks (特集 21世紀のコンピュータセキュリティ技術)

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